Results 51 to 60 of about 416,781 (292)
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Features of the area under the receiver operating characteristic (ROC) curve. A good practice [PDF]
, 2016 The area under the receiver operating characteristic (ROC) curve is a measure of discrimination ability used in diagnostic and prognostic research. The ROC plot is usually represented without additional information about decision thresholds used to ...
Contador, Israel +3 more
core +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
, 2021 Explanation of rank-order applied for preterm birth history to construct ROC curve. (DOCX)
Roger Smith (10569) +4 more
core +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Medical Decision Making, 2010 Receiver operating characteristic (ROC) curves evaluate the discriminatory power of a continuous marker to predict a binary outcome. The most popular parametric model for an ROC curve is the binormal model, which assumes that the marker, after a monotone transformation, is normally distributed conditional on the outcome.
Mithat, Gönen, Glenn, Heller
openaire +3 more sources
Example of a receiver operating characteristic (ROC) curve obtained using patient age as only predictor [PDF]
, 2011 Copyright information:Taken from "A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning"http://www.biomedcentral.com/1472-6947/7/35BMC Medical Informatics and Decision Making 2007;7(
Gabriele Cevenini (65044) +5 more
core +1 more source
BMC Medical Informatics and Decision Making, 2011 Background Decision curve analysis has been introduced as a method to evaluate prediction models in terms of their clinical consequences if used for a binary classification of subjects into a group who should and into a group who should not be treated ...
Zumbrunn Thomas, Rousson Valentin
doaj +1 more source
Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum
FEBS Open Bio, EarlyView.Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik +6 more
wiley +1 more source
Diagnosis: shifting the ROC curve [PDF]
British Journal of General Practice, 2012 In 1972 Howie asked whether diagnosis was the Achilles heel of general practice.1 Accurate diagnosis was then, and remains, the fundamental concept of all medical practice. Are we any good at it now? This issue of the BJGP contains several papers on diagnosis and decision-making which shed light on this important area of practice. The results reported
openaire +2 more sources